Predictive modeling is used in banking to identify fraud and illegal activities. For example, the amount and frequency of transactions are analyzed to recognize patterns or trends in money laundering.

In the 17th century, German astronomer Johannes Kepler figured out the laws of motion that made it possible to accurately ...

Dealerships using predictive models to forecast demand can avoid service delays, protect revenue and maintain loyalty. Emerging segments need faster moves.

By integrating wearable biosensors with edge AI and predictive modelling, emerging platforms like Lakshmi Kalyani Chinthala’s HIVSense-Econ are not just detecting diseases—they are mapping out ...

New research shows how AI models can become a victim of their own success, sending their performance into a nosedive and generating inaccurate, potentially harmful results.

It is well known that allowing the coefficients to be time-varying in a predictive model with possibly nonstationary regressors can help to deal with instability in predictability associated with ...

Field validation shows bias-corrected pseudo-absence selection is the best method for predictive species-distribution modelling Lionel R. Hertzog, Aurélien Besnard and Pierre Jay-Robert Diversity and ...